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This paper describes a new robotic multi-source localization algorithm based on diffusion of robots. Our DIFFUSE algorithm accelerates source localization by combining robot diffusion from purely local communication with random local search. We evaluate our approach on a set of validation benchmarks that provide ground-truth for comparative analysis of multi-source algorithms. Our DIFFUSE algorithm...
We propose a common set of validation benchmarks and a reference algorithm that provide ground-truth for comparative analysis of multi-source robot localization algorithms for large scale applications. The benchmarks capture the primary first-order attributes of the general problem: source characterization and distribution, initial robot distributions, and dead space. The biased random walk (BRW)...
This paper proposes a common set of validation benchmarks and a reference algorithm that provide ground-truth for comparative analysis of swarming algorithms for multi-source localization. The benchmarks capture the primary first-order attributes of the general problem: source characterization and distribution, initial robot distributions, and dead space. The Biased Random Walk (BRW) reference algorithm...
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